public static System.Speech.Synthesis.SpeechSynthesizer Setupvoice(string gender, string age)
{
System.Speech.Synthesis.SpeechSynthesizer voice = new System.Speech.Synthesis.SpeechSynthesizer();
switch (gender)
{
case "Male":
if (age == "Child")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Male, System.Speech.Synthesis.VoiceAge.Child);
}
else if (age == "Teen")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Male, System.Speech.Synthesis.VoiceAge.Teen);
}
else if (age == "Adult")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Male, System.Speech.Synthesis.VoiceAge.Adult);
}
else if (age == "Senior")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Male, System.Speech.Synthesis.VoiceAge.Senior);
}
break;
case "Female":
if (age == "Child")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Female, System.Speech.Synthesis.VoiceAge.Child);
}
else if (age == "Teen")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Female, System.Speech.Synthesis.VoiceAge.Teen);
}
else if (age == "Adult")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Female, System.Speech.Synthesis.VoiceAge.Adult);
}
else if (age == "Senior")
{
voice.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Female, System.Speech.Synthesis.VoiceAge.Senior);
}
break;
}
return(voice);
}
/// <summary>
/// Speak the image description.
/// </summary>
/// <param name="description">The image description to speak.</param>
private async Task SpeakDescription(string description)
{
// set up an adult female voice synthesizer
var synth = new System.Speech.Synthesis.SpeechSynthesizer();
synth.SelectVoiceByHints(VoiceGender.Female, VoiceAge.Adult);
// speak the description using the builtin synthesizer
await Task.Run(() => { synth.SpeakAsync(description); });
}
/// <summary>
/// Initializes a new instance of the MainWindow class
/// </summary>
///
public MainWindow()
{
// only one sensor is currently supported
this.kinectSensor = KinectSensor.GetDefault();
// set IsAvailableChanged event notifier
this.kinectSensor.IsAvailableChanged += this.Sensor_IsAvailableChanged;
// open the sensor
this.kinectSensor.Open();
// set the status text
this.StatusText = this.kinectSensor.IsAvailable ? Properties.Resources.RunningStatusText
: Properties.Resources.NoSensorStatusText;
// open the reader for the body frames
this.bodyFrameReader = this.kinectSensor.BodyFrameSource.OpenReader();
// set the BodyFramedArrived event notifier
this.bodyFrameReader.FrameArrived += this.Reader_BodyFrameArrived;
// initialize the BodyViewer object for displaying tracked bodies in the UI
this.kinectBodyView = new KinectBodyView(this.kinectSensor);
// initialize the gesture detection objects for our gestures
this.gestureDetectorList = new List <GestureDetector>();
// initialize the MainWindow
this.InitializeComponent();
try
{
sp.PortName = "COM6";
sp.BaudRate = 9600;
sp.Open();
}
catch (Exception)
{
MessageBox.Show("Please give a valid port number or check your connection");
}
speaker.SelectVoiceByHints(System.Speech.Synthesis.VoiceGender.Female);
// set our data context objects for display in UI
this.DataContext = this;
this.kinectBodyViewbox.DataContext = this.kinectBodyView;
// create a gesture detector for each body (6 bodies => 6 detectors) and create content controls to display results in the UI
// int col0Row = 0;
// int col1Row = 0;
int maxBodies = this.kinectSensor.BodyFrameSource.BodyCount;
//int maxBodies = 1;
for (int i = 0; i < maxBodies; ++i)
{
GestureResultView result = new GestureResultView(i, false, false, 0.0f);
GestureDetector detector = new GestureDetector(this.kinectSensor, result);
this.gestureDetectorList.Add(detector);
// split gesture results across the first two columns of the content grid
ContentControl contentControl = new ContentControl();
contentControl.Content = this.gestureDetectorList[i].GestureResultView;
if (this.kinectSensor != null)
{
// open the sensor
this.kinectSensor.Open();
// grab the audio stream
IReadOnlyList <AudioBeam> audioBeamList = this.kinectSensor.AudioSource.AudioBeams;
System.IO.Stream audioStream = audioBeamList[0].OpenInputStream();
// create the convert stream
this.convertStream = new KinectAudioStream(audioStream);
}
else
{
// on failure, set the status text
return;
}
RecognizerInfo ri = TryGetKinectRecognizer();
if (null != ri)
{
this.speechEngine = new SpeechRecognitionEngine(ri.Id);
// Create a grammar from grammar definition XML file.
using (var memoryStream = new MemoryStream(Encoding.ASCII.GetBytes(Properties.Resources.SpeechGrammar)))
{
var g = new Grammar(memoryStream);
this.speechEngine.LoadGrammar(g);
}
this.speechEngine.SpeechRecognized += this.SpeechRecognized;
this.speechEngine.SpeechRecognitionRejected += this.SpeechRejected;
// let the convertStream know speech is going active
this.convertStream.SpeechActive = true;
// For long recognition sessions (a few hours or more), it may be beneficial to turn off adaptation of the acoustic model.
// This will prevent recognition accuracy from degrading over time.
////speechEngine.UpdateRecognizerSetting("AdaptationOn", 0);
this.speechEngine.SetInputToAudioStream(
this.convertStream, new SpeechAudioFormatInfo(EncodingFormat.Pcm, 16000, 16, 1, 32000, 2, null));
this.speechEngine.RecognizeAsync(RecognizeMode.Multiple);
}
else
{
//this.statusBarText.Text = Properties.Resources.NoSpeechRecognizer;
}
}
ContentControl contentControl2 = new ContentControl();
contentControl2.Content = this.gestureDetectorList[0].GestureResultView;
this.contentGrid.Children.Add(contentControl2);
}
public MainForm()
{
InitializeComponent();
s.SelectVoiceByHints(gender, age);
}